Tensor-Flow-on-Google-Compute-Engine: Easy Setup
Run TensorFlow on Google Cloud with a simple script to leverage machine intelligence for your startup
- •You need to train machine learning models at scale
- •You want to utilize Google Cloud's infrastructure for deep learning
- •Your startup requires a simple way to set up a TensorFlow environment in the cloud
python tensorflow/examples/tutorials/mnist/mnist_with_summaries.py --train_dir=/tmp/mnist_logs
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/tensor-flow-on-google-compute-engine && curl -fsSL https://workflowstacks.com/api/skills/tensor-flow-on-google-compute-engine/claude-skill -o ~/.claude/skills/tensor-flow-on-google-compute-engine/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Tensor-Flow-on-Google-Compute-Engine: Easy Setup is a tiny Shell project (~150 lines across 1 code files). Setup is light: small project — see the README for how to run it. Last commit 124 months ago, no license file, no tests found.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/tensor-flow-on-google-compute-engine && curl -fsSL https://workflowstacks.com/api/skills/tensor-flow-on-google-compute-engine/claude-skill -o ~/.claude/skills/tensor-flow-on-google-compute-engine/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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